{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "ransom", "trigger": true, "arguments": ["price", "attack pattern", "time", "tool", "payment method", "victim", "place"]}, {"event_type": "data breach", "trigger": true, "arguments": ["purpose", "time", "victim", "number of victim", "compromised data", "place", "damage amount", "number of data"]}, {"event_type": "phishing", "trigger": true, "arguments": ["time", "victim", "purpose", "tool", "attacker", "attack pattern", "damage amount", "trusted entity", "place"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["patch", "patch number", "issues addressed", "vulnerable system", "vulnerability", "common vulnerabilities and exposures", "time"]}], "input": "The phishing message addresses the user as an Airbnb host and claims they 're not able to accept new bookings or send messages to prospective guests until a new privacy policy is accepted ."}
{"ransom": [], "data breach": [], "phishing": [{"trigger": "claims", "arguments": {"time": "NAN", "victim": "the user", "purpose": "NAN", "tool": "The phishing message", "attacker": "NAN", "attack pattern": "NAN", "damage amount": "NAN", "trusted entity": "Airbnb host", "place": "NAN"}}], "patch vulnerability": []}